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authorranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2006-05-12 21:59:33 +0000
committerranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2006-05-12 21:59:33 +0000
commit69504b635d388507bce650c44b3bfe17cad3383e (patch)
tree120114ff6dc2d1aeb4716efef90d71257ac47501 /demo/massart97ex8.R
parent6d118690c0cae02fc5cd4b28c1a67eecde4d9f60 (diff)
- Fixed the inverse prediction
- Now I have a working approach for the calculation of LOD and LOQ, but it seems to be different from what everybody else is doing (e.g. Massart chaper 13). I like it, however. Maybe it even yields a paper. git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@8 5fad18fb-23f0-0310-ab10-e59a3bee62b4
Diffstat (limited to 'demo/massart97ex8.R')
-rw-r--r--demo/massart97ex8.R6
1 files changed, 3 insertions, 3 deletions
diff --git a/demo/massart97ex8.R b/demo/massart97ex8.R
index 332bd1d..dca065f 100644
--- a/demo/massart97ex8.R
+++ b/demo/massart97ex8.R
@@ -1,4 +1,3 @@
-library(chemCal)
data(massart97ex3)
attach(massart97ex3)
xi <- levels(factor(x))
@@ -8,5 +7,6 @@ si <- round(sapply(yx,sd),digits=2)
wi <- round(1/(si^2),digits=3)
weights <- wi[factor(x)]
m <- lm(y ~ x,w=weights)
-inverse.predict(m,15)
-inverse.predict(m,90)
+inverse.predict(m, 15, ws = 1.67)
+inverse.predict(m, 90, ws = 0.145)
+calplot(m)

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